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Sylvain Brohée
NeAT
- random-graph
Generate random graphs either from an existing graph or from scratch according to different randomization procedures.
This program was developed by
Sylvain Brohée
and
Jacques van Helden
.
Input format
tab-delimited format
Adjacency matrix
GML format
Output format
tab-delimited format
GML format
Adjacency matrix
Graph
Upload graph from file :
Column specification (only relevant for tab-delimited input)
Source node
Target node
Weight or label column
Directed graph
Randomization type
Erdos-Renyi from scratch
Erdos-Renyi randomization (ER)
Node degree conservation
Node degree distribution conservation
number of nodes
number of edges
(node and edge numbers must be provided only for randomization type 'from scratch')
Normal distribution of weights
Mean
Standard deviation
(mean and standard deviation may be provided only for randomization types 'ER' and for 'from scratch')
Allow duplicated edges
Allow self loops
Source and target nodes stay source and target nodes in the randomized graph (only for ER randomization type)
Prevent the graph from containing nodes with no neighbour (only for ER randomization type)
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